In Delay Tolerant networks (DTN), the nodes are sparse and intermittently connected, the end-to-end connectivity between nodes is rare. To overcome the intermittent connectivity, DTN routing protocols employ the '...
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In order to adapt to different vehicle densities, a path connectivity probability based cross-layer routing handoff mechanism is proposed under software defined vehicle ad hoc networks (SDVN). In this mechanism, we em...
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In order to adapt to different vehicle densities, a path connectivity probability based cross-layer routing handoff mechanism is proposed under software defined vehicle ad hoc networks (SDVN). In this mechanism, we employ the derived path connectivity probability model to predict the density degree of a path, which will be used to decide whether to use base stations (BSs) assisted routing or V2V cross-layer routing. Particularly, in the process of performing V2V cross-layer routing, we utilize the information such as connectivity probability, transmission rate, and load to further improve the effectiveness of the proposed mechanism. Simulation results show that our proposed routing algorithm achieves significant gains in terms of delivery ratio and average delay, compared with several existing routing protocols.
Traditional software defined wireless sensor networks (SDWSN) fails to reduce the packet loss rate and delay due to the collision of packets in a single frequency channel. Considering a large network with numerous nod...
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In wireless sensor network, how to quickly match the real-time changing network and reduce the energy consumption in the topology discovery process has been a hot research topic, especially in the network with a large...
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Software defined wireless sensor network (SDWSN) is a new networkarchitecture for sensor networks. It provides an information monitoring and management technology solution for wireless sensor network, and has become ...
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User scheduling in mmWave multi-user multiple-input multiple output (MU-MIMO) systems involves the joint optimization of user selection and beam pair selection due to its hybrid beamforming architecture. Most of the e...
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ISBN:
(数字)9781728119731
ISBN:
(纸本)9781728119748
User scheduling in mmWave multi-user multiple-input multiple output (MU-MIMO) systems involves the joint optimization of user selection and beam pair selection due to its hybrid beamforming architecture. Most of the existing solutions are based on ideal channel state information (CSI). How to choose the users to be scheduled and their beams for operation in the case of non-ideal CSI is still challenging. In this study, we propose a blind beam search assisted user scheduling (BSUS) algorithm operating in the absence of ideal CSI. The proposed method consists of two steps. In the first step, the beam information acquired in the initial beam training is used to identify the channels' orthogonality and classify the users into groups. In the second step, a scheduled user is chosen from each group to maximize the equivalent channel energy. Subsequently, the selection of beam pairs for communication is simplified owing to the information acquired in initial beam training. Simulation results show that the proposed scheme can achieve 93.6% of the maximal sum rate, and maintain a low computational complexity.
The energy supply of sensor nodes is limited, and the sensor nodes near the sink node usually die out earlier than other nodes which causes the imbalance of energy consumption in wireless sensor network (WSN). In orde...
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ISBN:
(数字)9781728147437
ISBN:
(纸本)9781728147444
The energy supply of sensor nodes is limited, and the sensor nodes near the sink node usually die out earlier than other nodes which causes the imbalance of energy consumption in wireless sensor network (WSN). In order to extend the network lifetime and balance the energy consumption, we present a new clustering algorithm called Energy-balanced Clustering Algorithm (EBCA) based on software-defined wireless sensor network (SDWSN). In our algorithm, the controller redefines the communication radius of each sensor node based on distance from sink node and the number of neighbor nodes, and gives a new clustering method based on the residual energy of itself and its neighbor node. The simulation results show that our algorithm has better performance on balancing energy consumption and extending network lifetime compared with the typical data transmission algorithm.
A novel design method of electronically controlled beam reconfigurable antenna using liquid crystal metasurface is presented in this paper. The metasurface is a two-dimensional plane composed of a series of sub-wavele...
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In response to the mobile Internet, Internet of things and cloud computing technology fast development, the operation of large-scale distributed computing cloud data center construction in the world at the same time, ...
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